LANG Rongling, WANG Yuan, GAO Fei, Pan Lei. Fault Diagnosis of Airborne Equipments Based on Similarity Search[J]. Chinese Journal of Electronics, 2013, 22(4): 855-860.
Citation: LANG Rongling, WANG Yuan, GAO Fei, Pan Lei. Fault Diagnosis of Airborne Equipments Based on Similarity Search[J]. Chinese Journal of Electronics, 2013, 22(4): 855-860.

Fault Diagnosis of Airborne Equipments Based on Similarity Search

Funds:  This work is supported by the National Natural Science Foundation of China (No.61202078, No.61071139) and the National High Technology Research and Development Program of China (863 Program) (No.SQ2010AA1101356002).
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  • Corresponding author: LANG Rongling, WANG Yuan, GAO Fei, PAN Lei
  • Received Date: 2012-09-01
  • Rev Recd Date: 2012-11-01
  • Publish Date: 2013-09-25
  • The flight data generated during airplane's flights can be used for fault diagnosis, which is of great importance for improving the security and reducing the cost of maintenance of airplanes. It's an important fault diagnosis method t ofind out novel patterns of flight data, but flight data has characteristics of high dimension and containing stochastic noise. In this paper, we take advantage of similarity querying method t ofind out novel patterns in order to reduce the negative effect brought by high dimension and stochastic noise. Firstly, we reduce the dimension and eliminate the stochastic noise of flight data by piecewise linear representation method. Then, the indexical tree based on distance reduction rate is created to achieve efficient search. At last, the proposed approach is evaluated with a series of experiments on simulative data and real-world data. The experimental results show that this method can be successfully applied in practice.
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